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Development and deployment of interpretable machine-learning model for predicting in-hospital mortality in elderly patients with acute kidney disease.
Li, Mingxia; Zhuang, Qinghe; Zhao, Shuangping; Huang, Li; Hu, Chenghuan; Zhang, Buyao; Hou, Qinlan.
Afiliação
  • Li M; Department of Critical Care Medicine, Xiangya Hospital Central South University, Changsha, China.
  • Zhuang Q; School of Computer Science and Engineering, Central South University, Changsha, China.
  • Zhao S; Department of Critical Care Medicine, Xiangya Hospital Central South University, Changsha, China.
  • Huang L; National Clinical Research Center for Geriatric Disorders, Changsha, China.
  • Hu C; Hunan Provincial Clinical Research Center of Intensive Care Medicine, Changsha, China.
  • Zhang B; Department of Critical Care Medicine, Xiangya Hospital Central South University, Changsha, China.
  • Hou Q; Department of Critical Care Medicine, Xiangya Hospital Central South University, Changsha, China.
Ren Fail ; 44(1): 1886-1896, 2022 Dec.
Article em En | MEDLINE | ID: mdl-36341895
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Injúria Renal Aguda / Aprendizado de Máquina Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Injúria Renal Aguda / Aprendizado de Máquina Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article